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石化燃料人工智能

市场调查报告书

商品编码

1702030

2025-2033 年石油和天然气市场人工智慧报告（按类型、功能、应用和地区）

AI in Oil and Gas Market Report by Type, Function, Application, and Region 2025-2033

出版日期: 2025年04月01日 | 出版商:

IMARC | 英文 137 Pages | 商品交期: 2-3个工作天内

价格

简介目录图表

2024 年全球石油和天然气人工智慧市场规模达 29 亿美元。展望未来， IMARC Group预计到 2033 年市场规模将达到 64 亿美元，2025-2033 年期间的成长率 (CAGR) 为 8.2%。石油和天然气行业资料的爆炸性增长、对营运效率的需求不断增长、对安全的日益重视、严格的环境法规的实施以及人工智慧 (AI) 演算法的最新技术进步是推动市场发展的一些主要因素。

石油天然气领域的人工智慧是指人工智慧 (AI) 技术在石油天然气产业优化流程、提高安全性和改善决策的应用。它包括神经网路、电脑视觉、机器学习 (ML)、机器人技术和自然语言处理 (NLP)。石油和天然气领域的人工智慧广泛应用于油藏模拟、自动化钻井、预测性维护、地质测绘、安全监测、流程自动化和资产管理。它有助于决策、降低成本、提高安全性、改善可靠性、增强可扩展性和促进永续性。

人工智慧的广泛应用为石油和天然气行业提供了具有成本效益的解决方案，可以优化资源并简化运营，从而推动市场成长。此外，严格的环境法规的实施迫使企业使用人工智慧来更好地遵守规定，并在石油和天然气开采过程中尽量减少碳足迹，这对市场成长产生了积极的影响。此外，人工智慧演算法的最新技术进步，加上运算能力的提高，使得实施基于人工智慧的解决方案变得更加实用和高效，从而支持了市场的成长。除此之外，复杂任务技术人员的短缺日益加剧，也促进了对人工智慧的需求，以实现各种石油和天然气钻井作业的自动化能力。其他因素，包括对永续性的日益重视、对营运透明度的需求不断增加以及石油和天然气勘探的增加，预计将推动市场成长。

石油和天然气市场人工智慧趋势/驱动因素：

石油和天然气产业资料爆炸性成长

石油和天然气产业正在产生来自感测器、钻井设备和各种其他操作技术前所未有的资料量。与传统的资料分析工具相比，人工智慧被广泛用于即时有效地管理和解释这些资料，这是有意义的。此外，它还提供高级分析功能，可以浏览大量资料集以检查模式、趋势和异常。除此之外，人工智慧还提供将原始资料转化为有用见解的工具，可用于监控钻井作业和优化供应链流程。此外，该公司正在增加对人工智慧解决方案的投资，以理解其资料并将其转化为更明智决策的策略资产。

对营运效率的需求不断增长

石油和天然气行业涉及复杂且通常危险的操作，需要精心规划和执行。此外，人为错误、设备故障或操作过程中任何部分的效率低下都可能导致重大的财务损失或安全风险。与此相符的是，人工智慧技术，特别是机器学习（ML）和预测分析，提供了显着优化这些操作的能力。此外，它们还可以预测设备故障，自动执行重复性任务，并提高钻井和开采过程的精确度。此外，人工智慧不仅可以降低成本，还可以最大限度地降低与人工错误和系统故障相关的风险。因此，营运效率是人工智慧融入石油和天然气产业的主要驱动因素。

越来越重视安全

由于石油和天然气行业的作业（例如深海钻探或使用高度易燃材料）具有危险性，因此越来越重视该行业的安全，从而推动了市场的成长。此外，传统的安全措施往往无法完全消除事故和故障。与此相符，人工智慧透过即时监控、预测分析和自动控制系统提供了高级安全协定层。它可以分析来自多个感测器的资料，以检测可能预示潜在事故的异常情况，从而能够在事故发生之前采取预防措施。此外，人工智慧可以自动执行某些高风险任务，减少在潜在危险情况下人工干预的需要。因此，采用人工智慧技术来加强安全措施是推动市场成长的重要因素。

市场结构
关键参与者
关键参与者简介
- Accenture plc
- C3.AI Inc.
- Cisco Systems Inc.
- Cloudera Inc.
- Fugenx Technologies
- Huawei Technologies Co. Ltd
- Infosys Limited
- Intel Corporation
- International Business Machines Corporation
- Microsoft Corporation
- Neudax
- Nvidia Corporation
- Oracle Corporation
- Shell plc

简介目录图表

Product Code: SR112025A6014

The global AI in oil and gas market size reached USD 2.9 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 6.4 Billion by 2033, exhibiting a growth rate (CAGR) of 8.2% during 2025-2033. The increasing data explosion in the oil and gas industry, rising demand for operational efficiency, growing emphasis on safety, imposition of strict environmental regulations, and the recent technological advancements in artificial intelligence (AI) algorithms are some of the major factors propelling the market.

AI in oil and gas refers to the application of artificial intelligence (AI) technologies in optimizing processes, enhancing safety, and improving decision-making in the oil and gas industry. It includes neural networks, computer visions, machine learning (ML), robotics, and natural language processing (NLP). AI in oil and gas is widely used in reservoir simulation, automated drilling, predictive maintenance, geological mapping, safety monitoring, process automation, and asset management. It aids in decision-making, reducing costs, increasing safety, improving reliability, enhancing scalability, and promoting sustainability.

The widespread adoption of AI to provide cost-effective solutions that can optimize resources and streamline operations across the oil and gas industry is propelling the market growth. Furthermore, the imposition of strict environmental regulations that are compelling firms to use AI for better compliance and to minimize their carbon footprint during oil and gas extraction is positively influencing the market growth. Additionally, the recent technological advancements in AI algorithms, coupled with increased computational power, which makes it more practical and efficient to implement AI-based solutions, are supporting the market growth. Besides this, the rising shortage of skilled personnel for complex tasks is facilitating the demand for AI to enable automation capabilities across various oil and gas drilling operations. Other factors, including the growing emphasis on sustainability, increasing demand for operational transparency, and rising oil and gas exploration, are anticipated to drive the market growth.

AI in Oil and Gas Market Trends/Drivers:

The increasing data explosion in the oil and gas industry

The oil and gas sector is generating an unprecedented volume of data stemming from sensors, drilling equipment, and various other operational technologies. As compared to traditional data analytics tools, AI is widely used to effectively manage and interpret this data in real-time, which is something. Furthermore, it offers advanced analytics capabilities that can browse through vast data sets to examine patterns, trends, and anomalies. Apart from this, AI provides the tools to transform raw data into useful insights that can be utilized for monitoring drilling operations and optimizing the supply chain processes. Moreover, companies are increasingly investing in AI solutions to make sense of their data and turn it into a strategic asset for smarter decision-making.

The rising demand for operational efficiency

The oil and gas sector involves complex, often hazardous operations that require meticulous planning and execution. Furthermore, human error, equipment failure, or inefficiencies in any part of the operation can result in significant financial losses or safety risks. In line with this, AI technologies, particularly machine learning (ML) and predictive analytics provide the capability to significantly optimize these operations. In addition, they can forecast equipment failures before they occur, automate repetitive tasks, and improve the precision of drilling and extraction processes. Moreover, AI not only reduces costs but also minimizes the risks associated with manual errors and system failures. As a result, operational efficiency is a major driving factor for the integration of AI in the oil and gas industry.

The growing emphasis on safety

The growing emphasis on safety in the oil and gas industry due to the hazardous nature of its operations, such as deep-sea drilling or working with highly flammable materials, is propelling the market growth. Furthermore, traditional safety measures often fall short of completely eliminating accidents and failures. In line with this, AI offers an advanced layer of safety protocols through real-time monitoring, predictive analytics, and automated control systems. It can analyze data from multiple sensors to detect irregularities that could signify a potential accident, enabling preventive actions to be taken before an incident occurs. Moreover, AI can automate certain high-risk tasks, reducing the need for manual intervention in potentially dangerous scenarios. As a result, the adoption of AI technologies for enhancing safety measures is a significant factor fueling the market growth.

AI in Oil and Gas Industry Segmentation:

Breakup by Type:

Hardware
Software
Services

Software dominate the market

Software is dominating the market as it offers excellent flexibility and scalability, which make it highly adaptable to diverse operational needs. Furthermore, it can be easily updated to include new algorithms or features, ensuring that the oil and gas operations remain at the forefront of technological advancements. In addition, software solutions are more cost-effective in the long term, as they eliminate the need for heavy machinery or additional hardware installations. Besides this, it can be seamlessly integrated into existing systems, allowing for the centralization of data and processes. This harmonization significantly improves data analytics, enabling more accurate and timely decision-making. Moreover, software can be deployed across multiple sites, providing a unified approach to operations management. Apart from this, it can be continuously refined to address specific issues and opportunities presented by the oil and gas sector.

Breakup by Function:

Predictive Maintenance and Machinery Inspection
Material Movement
Production Planning
Field Services
Quality Control
Reclamation

Predictive maintenance and machinery inspection hold the largest share in the market

Predictive maintenance and machinery inspection are dominating the market as they aid in reducing downtime by analyzing equipment data and predicting failures before they happen. Furthermore, they help in identifying wear and tear or other forms of degradation that, if not addressed, could lead to serious safety issues. By preemptively identifying potential problems, companies can replace or repair components as needed, thereby improving the overall safety of operations. Additionally, the advancement in sensor technology and the Internet of Things (IoT), which has made data collection more robust and accurate, making predictive maintenance and machinery inspection increasingly reliable and effective, is positively influencing the market growth. Moreover, predictive maintenance and machinery inspection offers a strong return on investment (ROI), as they reduce maintenance costs, increase operational efficiency, and enhance security protocols.

Breakup by Application:

Upstream
Downstream
Midstream

Upstream hold the largest share in the market

The upstream is dominating the market as it involves various complex and data-intensive tasks, such as drilling, exploration, and extraction of natural gas and crude oil. Furthermore, it requires extensive data analysis for geological interpretation and reservoir modeling to identify promising drilling locations. In addition, AI-based predictive analytics are widely used in upstream operations to forecast equipment failures, allowing for preemptive actions that can save both time and money. Besides this, AI-powered remote sensing technologies and robotics are widely utilized to perform critical tasks that are either hazardous for human workers or logistically challenging to manage, thereby enhancing safety and operational efficiency. Moreover, the widespread adoption of AI in the upstream sector due to the imposition of strict environmental regulations is favoring the market growth.

Breakup by Region:

North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa

North America exhibits a clear dominance, accounting for the largest AI in oil and gas market share

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

North America has a well-developed infrastructure for both oil and gas extraction and AI technology, making it easier for companies to adopt and integrate AI solutions. Furthermore, the escalating level of investment in research and innovation by regional governments and private players to ensure continuous development and implementation of AI in the oil and gas sector is positively influencing the market growth. Besides this, companies in North America have a more mature understanding of the value of data analytics. This data-driven culture is conducive to the acceptance and optimization of AI capabilities across various sectors, including oil and gas. Moreover, the easy availability of a skilled workforce trained in data sciences and AI algorithms, which facilitates the implementation of advanced technologies, is contributing to the market growth.

Competitive Landscape:

Leading companies are leveraging machine learning (ML), predictive analytics, and natural language processing (NLP) to optimize every aspect of the oil and gas lifecycle, from exploration and drilling to production and distribution. Additionally, they are forging strategic partnerships with technology providers, academic institutions, and competitors to accelerate innovation and share knowledge. Furthermore, they are focusing on gaining customer insights to address specific problems and offer tailored solutions, which aids in building trust and improving overall customer satisfaction. Besides this, market leaders are investing in pilot programs to test the practical applications of AI technologies before full-scale implementation. Moreover, the escalating emphasis on sustainability and environmental responsibility has prompted companies to build AI solutions that meet the stringent regulatory requirements of various regions and countries.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Accenture plc
C3.AI Inc.
Cisco Systems Inc.
Cloudera Inc.
Fugenx Technologies
Huawei Technologies Co. Ltd
Infosys Limited
Intel Corporation
International Business Machines Corporation
Microsoft Corporation
Neudax
Nvidia Corporation
Oracle Corporation
Shell plc.

Key Questions Answered in This Report

1.What was the size of the global AI in oil and gas market in 2024?
2.What is the expected growth rate of the global AI in oil and gas market during 2025-2033?
3.What are the key factors driving the global AI in oil and gas market?
4.What has been the impact of COVID-19 on the global AI in oil and gas market?
5.What is the breakup of the global AI in oil and gas market based on the type?
6.What is the breakup of the global AI in oil and gas market based on the function?
7.What is the breakup of the global AI in oil and gas market based on the application?
8.What are the key regions in the global AI in oil and gas market?
9.Who are the key players/companies in the global AI in oil and gas market?

1 Preface

2 Scope and Methodology

2.1 Objectives of the Study
2.2 Stakeholders
2.3 Data Sources
- 2.3.1 Primary Sources
- 2.3.2 Secondary Sources
2.4 Market Estimation
- 2.4.1 Bottom-Up Approach
- 2.4.2 Top-Down Approach
2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

4.1 Overview
4.2 Key Industry Trends

5 Global AI in Oil and Gas Market

5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Forecast

6 Market Breakup by Type

6.1 Hardware
- 6.1.1 Market Trends
- 6.1.2 Market Forecast
6.2 Software
- 6.2.1 Market Trends
- 6.2.2 Market Forecast
6.3 Services
- 6.3.1 Market Trends
- 6.3.2 Market Forecast

7 Market Breakup by Function

7.1 Predictive Maintenance and Machinery Inspection
- 7.1.1 Market Trends
- 7.1.2 Market Forecast
7.2 Material Movement
- 7.2.1 Market Trends
- 7.2.2 Market Forecast
7.3 Production Planning
- 7.3.1 Market Trends
- 7.3.2 Market Forecast
7.4 Field Services
- 7.4.1 Market Trends
- 7.4.2 Market Forecast
7.5 Quality Control
- 7.5.1 Market Trends
- 7.5.2 Market Forecast
7.6 Reclamation
- 7.6.1 Market Trends
- 7.6.2 Market Forecast

8 Market Breakup by Application

8.1 Upstream
- 8.1.1 Market Trends
- 8.1.2 Market Forecast
8.2 Downstream
- 8.2.1 Market Trends
- 8.2.2 Market Forecast
8.3 Midstream
- 8.3.1 Market Trends
- 8.3.2 Market Forecast

9 Market Breakup by Region

9.1 North America
- 9.1.1 United States
  - 9.1.1.1 Market Trends
  - 9.1.1.2 Market Forecast
- 9.1.2 Canada
  - 9.1.2.1 Market Trends
  - 9.1.2.2 Market Forecast
9.2 Asia-Pacific
- 9.2.1 China
  - 9.2.1.1 Market Trends
  - 9.2.1.2 Market Forecast
- 9.2.2 Japan
  - 9.2.2.1 Market Trends
  - 9.2.2.2 Market Forecast
- 9.2.3 India
  - 9.2.3.1 Market Trends
  - 9.2.3.2 Market Forecast
- 9.2.4 South Korea
  - 9.2.4.1 Market Trends
  - 9.2.4.2 Market Forecast
- 9.2.5 Australia
  - 9.2.5.1 Market Trends
  - 9.2.5.2 Market Forecast
- 9.2.6 Indonesia
  - 9.2.6.1 Market Trends
  - 9.2.6.2 Market Forecast
- 9.2.7 Others
  - 9.2.7.1 Market Trends
  - 9.2.7.2 Market Forecast
9.3 Europe
- 9.3.1 Germany
  - 9.3.1.1 Market Trends
  - 9.3.1.2 Market Forecast
- 9.3.2 France
  - 9.3.2.1 Market Trends
  - 9.3.2.2 Market Forecast
- 9.3.3 United Kingdom
  - 9.3.3.1 Market Trends
  - 9.3.3.2 Market Forecast
- 9.3.4 Italy
  - 9.3.4.1 Market Trends
  - 9.3.4.2 Market Forecast
- 9.3.5 Spain
  - 9.3.5.1 Market Trends
  - 9.3.5.2 Market Forecast
- 9.3.6 Russia
  - 9.3.6.1 Market Trends
  - 9.3.6.2 Market Forecast
- 9.3.7 Others
  - 9.3.7.1 Market Trends
  - 9.3.7.2 Market Forecast
9.4 Latin America
- 9.4.1 Brazil
  - 9.4.1.1 Market Trends
  - 9.4.1.2 Market Forecast
- 9.4.2 Mexico
  - 9.4.2.1 Market Trends
  - 9.4.2.2 Market Forecast
- 9.4.3 Others
  - 9.4.3.1 Market Trends
  - 9.4.3.2 Market Forecast
9.5 Middle East and Africa
- 9.5.1 Market Trends
- 9.5.2 Market Breakup by Country
- 9.5.3 Market Forecast

10 SWOT Analysis

10.1 Overview
10.2 Strengths
10.3 Weaknesses
10.4 Opportunities
10.5 Threats

11 Value Chain Analysis

12 Porters Five Forces Analysis

12.1 Overview
12.2 Bargaining Power of Buyers
12.3 Bargaining Power of Suppliers
12.4 Degree of Competition
12.5 Threat of New Entrants
12.6 Threat of Substitutes

13 Price Analysis

14 Competitive Landscape

14.1 Market Structure
14.2 Key Players
14.3 Profiles of Key Players
- 14.3.1 Accenture plc
  - 14.3.1.1 Company Overview
  - 14.3.1.2 Product Portfolio
  - 14.3.1.3 Financials
  - 14.3.1.4 SWOT Analysis
- 14.3.2 C3.AI Inc.
  - 14.3.2.1 Company Overview
  - 14.3.2.2 Product Portfolio
  - 14.3.2.3 Financials
- 14.3.3 Cisco Systems Inc.
  - 14.3.3.1 Company Overview
  - 14.3.3.2 Product Portfolio
  - 14.3.3.3 Financials
  - 14.3.3.4 SWOT Analysis
- 14.3.4 Cloudera Inc.
  - 14.3.4.1 Company Overview
  - 14.3.4.2 Product Portfolio
- 14.3.5 Fugenx Technologies
  - 14.3.5.1 Company Overview
  - 14.3.5.2 Product Portfolio
- 14.3.6 Huawei Technologies Co. Ltd
  - 14.3.6.1 Company Overview
  - 14.3.6.2 Product Portfolio
  - 14.3.6.3 SWOT Analysis
- 14.3.7 Infosys Limited
  - 14.3.7.1 Company Overview
  - 14.3.7.2 Product Portfolio
  - 14.3.7.3 Financials
  - 14.3.7.4 SWOT Analysis
- 14.3.8 Intel Corporation
  - 14.3.8.1 Company Overview
  - 14.3.8.2 Product Portfolio
  - 14.3.8.3 Financials
  - 14.3.8.4 SWOT Analysis
- 14.3.9 International Business Machines Corporation
  - 14.3.9.1 Company Overview
  - 14.3.9.2 Product Portfolio
  - 14.3.9.3 Financials
- 14.3.10 Microsoft Corporation
  - 14.3.10.1 Company Overview
  - 14.3.10.2 Product Portfolio
  - 14.3.10.3 Financials
  - 14.3.10.4 SWOT Analysis
- 14.3.11 Neudax
  - 14.3.11.1 Company Overview
  - 14.3.11.2 Product Portfolio
- 14.3.12 Nvidia Corporation
  - 14.3.12.1 Company Overview
  - 14.3.12.2 Product Portfolio
  - 14.3.12.3 Financials
  - 14.3.12.4 SWOT Analysis
- 14.3.13 Oracle Corporation
  - 14.3.13.1 Company Overview
  - 14.3.13.2 Product Portfolio
  - 14.3.13.3 Financials
  - 14.3.13.4 SWOT Analysis
- 14.3.14 Shell plc
  - 14.3.14.1 Company Overview
  - 14.3.14.2 Product Portfolio
  - 14.3.14.3 Financials

简介目录图表

List of Figures

Figure 1: Global: AI in Oil and Gas Market: Major Drivers and Challenges
Figure 2: Global: AI in Oil and Gas Market: Sales Value (in Billion USD), 2019-2024
Figure 3: Global: AI in Oil and Gas Market Forecast: Sales Value (in Billion USD), 2025-2033
Figure 4: Global: AI in Oil and Gas Market: Breakup by Type (in %), 2024
Figure 5: Global: AI in Oil and Gas Market: Breakup by Function (in %), 2024
Figure 6: Global: AI in Oil and Gas Market: Breakup by Application (in %), 2024
Figure 7: Global: AI in Oil and Gas Market: Breakup by Region (in %), 2024
Figure 8: Global: AI in Oil and Gas (Hardware) Market: Sales Value (in Million USD), 2019 & 2024
Figure 9: Global: AI in Oil and Gas (Hardware) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 10: Global: AI in Oil and Gas (Software) Market: Sales Value (in Million USD), 2019 & 2024
Figure 11: Global: AI in Oil and Gas (Software) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 12: Global: AI in Oil and Gas (Services) Market: Sales Value (in Million USD), 2019 & 2024
Figure 13: Global: AI in Oil and Gas (Services) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 14: Global: AI in Oil and Gas (Predictive Maintenance and Machinery Inspection) Market: Sales Value (in Million USD), 2019 & 2024
Figure 15: Global: AI in Oil and Gas (Predictive Maintenance and Machinery Inspection) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 16: Global: AI in Oil and Gas (Material Movement) Market: Sales Value (in Million USD), 2019 & 2024
Figure 17: Global: AI in Oil and Gas (Material Movement) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 18: Global: AI in Oil and Gas (Production Planning) Market: Sales Value (in Million USD), 2019 & 2024
Figure 19: Global: AI in Oil and Gas (Production Planning) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 20: Global: AI in Oil and Gas (Field Services) Market: Sales Value (in Million USD), 2019 & 2024
Figure 21: Global: AI in Oil and Gas (Field Services) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 22: Global: AI in Oil and Gas (Quality Control) Market: Sales Value (in Million USD), 2019 & 2024
Figure 23: Global: AI in Oil and Gas (Quality Control) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 24: Global: AI in Oil and Gas (Reclamation) Market: Sales Value (in Million USD), 2019 & 2024
Figure 25: Global: AI in Oil and Gas (Reclamation) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 26: Global: AI in Oil and Gas (Upstream) Market: Sales Value (in Million USD), 2019 & 2024
Figure 27: Global: AI in Oil and Gas (Upstream) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 28: Global: AI in Oil and Gas (Downstream) Market: Sales Value (in Million USD), 2019 & 2024
Figure 29: Global: AI in Oil and Gas (Downstream) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 30: Global: AI in Oil and Gas (Midstream) Market: Sales Value (in Million USD), 2019 & 2024
Figure 31: Global: AI in Oil and Gas (Midstream) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 32: North America: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 33: North America: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 34: United States: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 35: United States: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 36: Canada: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 37: Canada: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 38: Asia-Pacific: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 39: Asia-Pacific: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 40: China: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 41: China: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 42: Japan: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 43: Japan: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 44: India: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 45: India: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 46: South Korea: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 47: South Korea: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 48: Australia: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 49: Australia: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 50: Indonesia: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 51: Indonesia: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 52: Others: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 53: Others: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 54: Europe: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 55: Europe: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 56: Germany: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 57: Germany: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 58: France: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 59: France: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 60: United Kingdom: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 61: United Kingdom: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 62: Italy: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 63: Italy: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 64: Spain: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 65: Spain: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 66: Russia: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 67: Russia: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 68: Others: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 69: Others: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 70: Latin America: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 71: Latin America: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 72: Brazil: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 73: Brazil: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 74: Mexico: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 75: Mexico: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 76: Others: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 77: Others: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 78: Middle East and Africa: AI in Oil and Gas Market: Sales Value (in Million USD), 2019 & 2024
Figure 79: Middle East and Africa: AI in Oil and Gas Market: Breakup by Country (in %), 2024
Figure 80: Middle East and Africa: AI in Oil and Gas Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 81: Global: AI in Oil and Gas Industry: SWOT Analysis
Figure 82: Global: AI in Oil and Gas Industry: Value Chain Analysis
Figure 83: Global: AI in Oil and Gas Industry: Porter's Five Forces Analysis

List of Tables

Table 1: Global: AI in Oil and Gas Market: Key Industry Highlights, 2024 and 2033
Table 2: Global: AI in Oil and Gas Market Forecast: Breakup by Type (in Million USD), 2025-2033
Table 3: Global: AI in Oil and Gas Market Forecast: Breakup by Function (in Million USD), 2025-2033
Table 4: Global: AI in Oil and Gas Market Forecast: Breakup by Application (in Million USD), 2025-2033
Table 5: Global: AI in Oil and Gas Market Forecast: Breakup by Region (in Million USD), 2025-2033
Table 6: Global: AI in Oil and Gas Market: Competitive Structure
Table 7: Global: AI in Oil and Gas Market: Key Players

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